Prognostic Factors and Treatment Outcome of Pediatric Anaplastic Large Cell Lymphoma Treated at the Children Cancer Hospital Egypt
Bibliographic record
Abstract
INTRODUCTION: The aim of the current study is to report the epidemiologic data, response rate, treatment outcome, and overall survival of anaplastic large cell lymphoma (ALCL) patients during the 8-year period. PATIENTS AND METHODS: A retrospective study included all patients with newly diagnosed ALCL from July 2007 till December 2015. RESULTS: A total of 48 patients were enrolled. The majority (66.7%) were male individuals. Twenty-one patients (43.7%) were low stage I or II, whereas 27 (56.2%) had advanced stage III or IV. Two patients (4.2%) died during induction chemotherapy. Disease status at last follow-up showed 35 patients (72.9%) in complete remission, 5 (10.5%) relapse, and 5 disease progression. The median time to relapse was 17.2 months. Four patients (8.4%) were salvaged by high-dose chemotherapy ifosphamide, carboplatine, etoposide followed by autologous hematopoietic stem cell transplantation, whereas 5 (10.5%) died out of disease progression. The 5-year overall survival and event-free survival were 81.2% and 68.6%, respectively. Median FU period was 58.7 month. Multivariate analysis included age, sex, stage, and response to chemotherapy and showed no statistical significance. CONCLUSION: Treatment of ALCL according to the Children's Oncology Group ANHL 0131 protocol is well tolerated. The relapsing patient could be salvaged by high-dose chemotherapy and autologous hematopoietic stem cell transplantation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".